import os
import librosa
import numpy as np
import pandas as pd

melspectrogram_parameters = {
    "n_mels": 128,
    "fmin": 20,
    "fmax": 16000
}

base_path = '../input/birdsong-recognition/'
train_csv = pd.read_csv(base_path + 'train.csv')
test_csv  = pd.read_csv(base_path + 'test.csv')

name_list = []
for root, dirs, files in os.walk(base_path + 'train_audio', topdown=False):
    print(files)
    for name in dirs:
        name_list.append(name)

print(len(name_list))   

for bird_name in name_list:
    full_path = base_path + 'train_audio' + '/' + bird_name



